The Effectiveness of Biofeedback for Individuals With Long-term Post-concussive Symptoms
The Effectiveness of Neurofeedback and Heart Rate Variability Biofeedback for Individuals With Long-term Post-concussive Symptoms
1 other identifier
interventional
31
1 country
1
Brief Summary
Most concussions resolve within 7-10 days, but approximately 40% of individuals do not fully recover and suffer from persistent post-concussive symptoms. This 8-week intervention study will evaluate the efficacy of heart rate variability (HRV) biofeedback and neurofeedback on reducing the number and severity of concussion symptoms.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Jan 2018
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 3, 2017
CompletedFirst Posted
Study publicly available on registry
November 9, 2017
CompletedStudy Start
First participant enrolled
January 1, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
August 31, 2018
CompletedResults Posted
Study results publicly available
June 4, 2020
CompletedAugust 9, 2022
July 1, 2022
8 months
November 3, 2017
October 1, 2019
July 17, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Change In SDNN
The interval between heartbeats, specifically the artifact-free intervals between R waves in the QRS complex, will be measured. This is known as the standard deviation of the norm (SDNN), and is a universal method of quantifying HRV (Camm et al., 1996). This information is collected using the Mindja application for android devices, created by Evoke Neuroscience.The physiologically relevant norms are a mean of 50 (SD 16) and a range from 32-93 ms (Shaffer F, Ginsberg JP. An Overview of Heart Rate variability Metrics and Norms. Frontiers in Public Health. 2017 Sep;5(258):1.)
baseline and post-intervention (8 weeks)
Number of Participants Making Driving Simulator Mistakes
Participants will perform a driving simulation task using the DriveSafety CDS-250 driving simulator. It will record the performance, and afterwards a trained rater will review and evaluate the number of driving errors using a standardized assessment form. The number of individuals that made a driving simulator mistake are reported. The minimum is zero and the maximum is the number of participants in the Arm/Group. We are not aware of any physiologically relevant ranges for this measure.
baseline and post-intervention (8 weeks)
Change In Electrocardiograph Amplitudes
The amplitude and power of alpha, beta, theta, and delta frequencies will be evaluated relative to reference norms (Gevensleben et al., 2010) and expressed as Z-scores (deviation from the mean divided by the standard deviation). In terms of physiologically relevant norms, 99% of the population will have scores between -3 and +3. This information is collected and stored in a secured cloud between Evoke Neuroscience and Western University.
baseline and post-intervention (8 weeks)
Secondary Outcomes (2)
Change In Number and Severity of Post-concussive Symptoms
baseline and post-intervention (8 weeks)
Change In Anxiety
baseline and post-intervention (8 weeks)
Study Arms (3)
Heart Rate Variability/Neurofeedback
EXPERIMENTALParticipants in this arm of the study will receive HRV biofeedback and neurofeedback. HRV biofeedback will occur twice daily, using an android device and application. Additionally, three times per week they will have one-hour long neurofeedback sessions.
Post-Concussed Control Group
NO INTERVENTIONAge-matched, previously concussed individuals that have completed the same concussion rehabilitation program (Brain Ex 90) will be recruited for this arm.
Non-Concussed Control Group
NO INTERVENTIONAge-matched individuals who have not been diagnosed with a concussion in the previous two years
Interventions
HRV biofeedback constitutes initial training with the android device and application, and HRV training performed at home. This training will occur twice daily, and each session will take five minutes.
LORETA Z-Score neurofeedback training will occur three times per week with a trained study investigator.
Eligibility Criteria
You may qualify if:
- Participants in HRV and the HRV/Neurofeedback intervention arms, and the post-concussion control arm:
- Previously suffered a clinically diagnosed concussion
- Participated in, completed, and have been discharged from the BrainEx90 outpatient concussion rehabilitation program at Parkwood Institute
- Continued post-concussive symptoms
- years of age or older
- Access to transportation
- Capable of utilizing hand-held technology (ie. cell phone, tablet, etc.)
- Holds a valid Driver's License
- English speaking
- Participants in the non-concussed control arm:
- years of age or older
- Holds a valid driver's license
- English speaking
- Has not suffered a concussion in the last two years
You may not qualify if:
- All participants:
- Any heart disease, pacemaker, abnormal heartbeat patterns, coronary artery disease, or bypass surgery
- Any mental health disorder that would interfere with participation in the study
- Under 18 years of age
- Unable to provide written informed consent or complete questionnaires due to language or cognitive difficulties
- Inability to operate a motor vehicle
- Inability to look at a digital screen for 30 minutes
- Participants in the non-concussed control arm:
- \. Suffered a concussion in the last two years
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Western University, Canadalead
- Parkwood Hospital, London, Ontariocollaborator
Study Sites (1)
University of Western Ontario
London, Ontario, N6A3K7, Canada
Related Publications (13)
Bivona U, D'Ippolito M, Giustini M, Vignally P, Longo E, Taggi F, Formisano R. Return to driving after severe traumatic brain injury: increased risk of traffic accidents and personal responsibility. J Head Trauma Rehabil. 2012 May-Jun;27(3):210-5. doi: 10.1097/HTR.0b013e31822178a9.
PMID: 21829135BACKGROUNDConder RL, Conder AA. Heart rate variability interventions for concussion and rehabilitation. Front Psychol. 2014 Aug 13;5:890. doi: 10.3389/fpsyg.2014.00890. eCollection 2014.
PMID: 25165461BACKGROUNDHeart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996 Mar 1;93(5):1043-65. No abstract available.
PMID: 8598068BACKGROUNDFisk GD, Schneider JJ, Novack TA. Driving following traumatic brain injury: prevalence, exposure, advice and evaluations. Brain Inj. 1998 Aug;12(8):683-95. doi: 10.1080/026990598122241.
PMID: 9724839BACKGROUNDGevensleben H, Holl B, Albrecht B, Schlamp D, Kratz O, Studer P, Rothenberger A, Moll GH, Heinrich H. Neurofeedback training in children with ADHD: 6-month follow-up of a randomised controlled trial. Eur Child Adolesc Psychiatry. 2010 Sep;19(9):715-24. doi: 10.1007/s00787-010-0109-5. Epub 2010 May 25.
PMID: 20499120BACKGROUNDIngebrigtsen T, Waterloo K, Marup-Jensen S, Attner E, Romner B. Quantification of post-concussion symptoms 3 months after minor head injury in 100 consecutive patients. J Neurol. 1998 Sep;245(9):609-12. doi: 10.1007/s004150050254.
PMID: 9758300BACKGROUNDLagos, L., Bottiglieri, T., Vaschillo, B., & Vaschillo, E. (2012). Heart Rate Variability Biofeedback for Postconcussion Syndrome: Implications for Treatment. Biofeedback, 40(4), 150-153. doi:10.5298/1081-5937-40.4.05
BACKGROUNDLagos, L., Thompson, J., & Vaschillo, E. (2013). A Preliminary Study: Heart Rate Variability Biofeedback for Treatment of Postconcussion Syndrome. Biofeedback, 41(3), 136-143. doi:10.5298/1081-5937-41.3.02
BACKGROUNDLehrer PM, Gevirtz R. Heart rate variability biofeedback: how and why does it work? Front Psychol. 2014 Jul 21;5:756. doi: 10.3389/fpsyg.2014.00756. eCollection 2014.
PMID: 25101026BACKGROUNDMilleville-Pennel I, Pothier J, Hoc JM, Mathe JF. Consequences of cognitive impairments following traumatic brain injury: Pilot study on visual exploration while driving. Brain Inj. 2010;24(4):678-91. doi: 10.3109/02699051003692159.
PMID: 20235770BACKGROUNDMunivenkatappa A, Rajeswaran J, Indira Devi B, Bennet N, Upadhyay N. EEG Neurofeedback therapy: Can it attenuate brain changes in TBI? NeuroRehabilitation. 2014;35(3):481-4. doi: 10.3233/NRE-141140.
PMID: 25238859BACKGROUNDPreece MH, Horswill MS, Geffen GM. Driving after concussion: the acute effect of mild traumatic brain injury on drivers' hazard perception. Neuropsychology. 2010 Jul;24(4):493-503. doi: 10.1037/a0018903.
PMID: 20604623BACKGROUNDThompson, M., Thompson, L., Reid-Chung, A., & Thompson, J. (2013). Managing Traumatic Brain Injury: Appropriate Assessment and a Rationale for Using Neurofeedback and Biofeedback to Enhance Recovery in Postconcussion Syndrome. Biofeedback, 41(4), 158-173. doi:10.5298/1081-5937-41.4.07
BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr Jim Dickey, Associate Professor
- Organization
- University of Western Ontario
Study Officials
- PRINCIPAL INVESTIGATOR
James P Dickey, PhD
Western University
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Sponsor-Investigator
Study Record Dates
First Submitted
November 3, 2017
First Posted
November 9, 2017
Study Start
January 1, 2018
Primary Completion
August 31, 2018
Study Completion
August 31, 2018
Last Updated
August 9, 2022
Results First Posted
June 4, 2020
Record last verified: 2022-07
Data Sharing
- IPD Sharing
- Will not share
Each participant will be identified with a code (eg. PCS001) that correlates to his or her addition to the study. The master sheet will be the only document that contains the decoding system, and will be stored in a locked filing cabinet. All other data will be labeled using the participant's identification code. Neurophysiological data sent to Evoke Neuroscience will not contain any personal identifiers. Data sent between Evoke Neuroscience and Western University is sent in a secure file transfer. All other de-identified data stored on a Western University hard drive is within a secure university network (J drive).